Media information presentation method, server, and storage medium

ABSTRACT

The present disclosure discloses a media information presentation method performed at a computer server communicatively connected to a plurality of terminals associated with a social networking platform. The method includes: receiving a plurality of media information operation messages, each message indicating an operation performed on a piece of advertisement by one of a first group of users; deriving a second group of users that are direct connections of the first group of users; collecting, from the media information operation messages, statistics on operation statistical data of the second group of users; and receiving a media information obtaining request from a respective user of the second group of users at a terminal; in response to the request, identifying a plurality of pieces of advertisement corresponding to the respective user; sorting them according to their corresponding operation weights; and returning, to the terminal, top L pieces of advertisement in the descending order.

CROSS-REFERENCE TO RELATED APPLICATIONS

This application is a continuation of U.S. application Ser. No.16/030,750, entitled “MEDIA INFORMATION PRESENTATION METHOD, SERVER, ANDSTORAGE MEDIUM” filed on Jul. 9, 2018, which is a continuation-in-partapplication of PCT/CN2017/085834, entitled “MEDIA INFORMATIONPRESENTATION METHOD, SERVER, AND STORAGE MEDIUM” filed on May 25, 2017,which claims priority to Chinese Patent Application No. 201610379714.7,filed with the State Intellectual Property Office of the People'sRepublic of China on Jun. 1, 2016, and entitled “MEDIA INFORMATIONPRESENTATION METHOD, SERVER, AND STORAGE MEDIUM,” all of which areincorporated herein by reference in their entirety.

FIELD OF THE TECHNOLOGY

This application relates to the field of Internet technologies, and inparticular, to a media information presentation method, a server, and astorage medium.

BACKGROUND OF THE DISCLOSURE

At present, when a user conducts a social activity on a website or in anapplication (APP), in addition to receiving information released by afriend, the user further receives other pushed media information, forexample, an advertisement, news or a public welfare film in a form of atext, an image, a teletext, or a video. A common promotion manner iscalled directional media information promotion manner. In thedirectional media information promotion, a user group to which a pieceof media information is promoted in a directed manner is determinedaccording to attribute information or historical behavior information ofusers in the user group. These users may be referred to as seed users,and the directional promotion is performed for these determined seedusers.

However, in such a directional media information promotion manner, theseed users are determined in advance, and only those seed users are ableto receive the media information. Since audiences are limited only tothe seed users, the media information is not radiated to the other userseven if they are associated with the seed users as colleagues, friends,family members, or the like. Only when the other users request for themedia information from the seed users, the media information can beprovided to the other users. Also, the time for request for the mediainformation from the other users is proportional to the number of theother users. As a result, the directional media information promotioncannot be automatically radiated to the audiences other than the seedusers, lacks interactivities among the users, and causes instability ofonline service.

SUMMARY

To resolve the problem in the existing technology, exemplary embodimentsof the present disclosure provide a media information presentationmethod, server, and storage medium. The technical solutions are asfollows:

A first aspect provides a media information presentation methodperformed at a computer server having one or more processors and memorystoring instructions to be executed by the one or more processors thatis communicatively connected to a plurality of terminals correspondingto a plurality of users of a social networking platform, the methodcomprising:

receiving, at the computer server, a plurality of media informationoperation messages, each message indicating an operation performed on apiece of advertisement by a respective one of a first group of users ofthe social networking platform;

deriving, at the computer server, a second group of users of the socialnetworking platform, wherein each member of the second group of users isa direct connection of one or more of the first group of users on thesocial networking platform;

collecting, at the computer server and from the plurality of mediainformation operation messages associated with the first group of users,statistics on operation statistical data of the second group of users,the operation statistical data comprising identifiers of a plurality ofpieces of advertisement and an operation weight of each of the pluralityof pieces of advertisement; and

receiving, at the computer server, a media information obtaining requestfrom a respective user of the second group of users at a terminal;

in response to the media information obtaining request,

-   -   identifying, from the operation statistical data, a plurality of        pieces of advertisement corresponding to the respective user;    -   sorting the plurality of pieces of advertisement according to        their corresponding operation weights associated with the        respective user; and        -   returning, to the terminal, top L pieces of advertisement in            the descending order, wherein L is a positive integer            greater than or equal to 1.

A second aspect provides a computer server that is communicativelyconnected to a plurality of terminals associated with a socialnetworking platform, including one or more processors; memory coupled tothe one or more processors; a plurality of instructions stored in thememory that, when executed by the one or more processors, cause thecomputer server to perform the aforementioned operations.

A third aspect provides a non-transitory computer readable storagemedium, storing a plurality of instructions configured for execution byone or more processors of a computer server, which is communicativelyconnected to a plurality of terminals associated with a socialnetworking platform, the plurality of instructions, when executed by theone or more processors, causing the computer server to perform theaforementioned operations.

The technical solutions provided in the exemplary embodiments of thepresent disclosure bring about the following beneficial effects:

In the method and apparatus provided in the exemplary embodiments of thepresent disclosure, at least one media information operation message isreceived from at least one first client; a social relationship chain ofthe first user corresponding to each media information operation messageis obtained; statistics on operation statistical data of each seconduser in each social relationship chain is collected according to eachpiece of determined media information and each determined operation; asecond client receives a media information obtaining request of a thirduser; and when operation statistical data of the third user is foundfrom the operation statistical data of the second user, at least onepiece of media information is selected from the operation statisticaldata of third user, and the at least one piece of media information issent to the second client, so that promotion of the media information isradiated to the second user and even to the third user by means of anoperation of the first user and the social relationship chain.Therefore, the method and apparatus of the present disclosure canincrease the channels of the media information promotion, enlarge themedia information presentation range and promotion depth, so thataudiences receiving the media information are extended from the directedgroup to a variable social group. In addition, the method and apparatusof the present disclosure can propagate the media information in realtime, thereby lowering a response delay for a media information requestand enhancing the efficiency of promoting the media information andresource utilization of the media information presentation.

BRIEF DESCRIPTION OF THE DRAWINGS

To describe the technical solutions of the embodiments of the presentdisclosure more clearly, the following briefly introduces theaccompanying drawings required for describing the embodiments.Apparently, the accompanying drawings in the following description showonly some embodiments of the present disclosure, and a person ofordinary skill in the art may still derive other drawings from theseaccompanying drawings without creative efforts.

FIG. 1 is a schematic flowchart of a media information presentationmethod according to an embodiment of this application:

FIG. 2 is a schematic diagram of a list of media information operationmessages according to an embodiment of this application;

FIG. 3 is a schematic diagram of a list of social relationship chainsaccording to an embodiment of this application;

FIG. 4 is a schematic diagram of a list of popularity coefficientsaccording to an embodiment of this application;

FIG. 5 is a schematic flowchart of a media information presentationmethod according to another embodiment of this application;

FIG. 6 is a schematic diagram of an interface of an operation on mediainformation according to an embodiment of this application;

FIG. 7a is a schematic diagram of an interface for outputting a promptoption according to an embodiment of this application:

FIG. 7b is a schematic diagram of an interface for presenting a mediainformation operation message according to an embodiment of thisapplication;

FIG. 8a is a schematic diagram of an interface of a special directingrule according to an embodiment of this application;

FIG. 8b is a schematic diagram of an interface of a special directingrule according to another embodiment of this application:

FIG. 9 is a schematic interaction diagram of a media informationpresentation method according to an embodiment of this application:

FIG. 10 is a schematic structural diagram of a server according to anembodiment of this application; and

FIG. 11 is a schematic structural diagram of a server according toanother embodiment of this application.

DESCRIPTION OF EMBODIMENTS

The following clearly and completely describes the technical solutionsin the embodiments of this application with reference to theaccompanying drawings in the embodiments of this application.Apparently, the described embodiments are some but not all of theembodiments of this application. All other embodiments obtained by aperson of ordinary skill in the art based on the embodiments of thisapplication without creative efforts shall fall within the protectionscope of this application.

In the embodiments of this application, media information is presentedas one type of promotion information, which may be an advertisementprovided by an advertiser, or video files to be promoted or broadcasted,such as news, a public welfare film, and the like. A client terminal maybe a social application client, for example, QQ zone, WeChat, Weibo, orthe like. Users may establish a social relationship chain, and share,make a comment on, or perform other operations on received mediainformation on a social application platform provided by the socialapplication client.

FIG. 1 is a schematic flowchart of a media information presentationmethod according to an embodiment of this application. Referring to FIG.1, the method includes the following steps.

Step 101: Receive at least one media information operation message, eachmedia information operation message being used to indicate an operationperformed by a first user on a piece of media information; anddetermine, according to the at least one media information operationmessage, each piece of media information and each operationcorresponding to each first user.

In this step, the media information operation message may carry anidentifier of the first user, an identifier of the media information,and an identifier of the performed operation. In some embodiments ofthis application, the operation performed by the first user on the mediainformation may be an operation performed by the first user based on aninteractive control provided by an application client for the mediainformation, for example, based on an interactive button such as Like,Unlike, Down-vote, Un-vote, Repost, or Favorite provided by theapplication client for a piece of media information, a Like operation,an Unlike operation, or a Favorite operation performed by tapping theinteractive button, or a comment operation performed based on aninteractive control such as a comment text box provided by theapplication client for a piece of media information.

A server determines, according to at least one media informationoperation message received at a predetermined time interval, each pieceof media information and each operation corresponding to each firstuser. In an embodiment, the server stores the at least one receivedmedia information operation message as log data specific to a userbehavior, and the log data is used to collect statistics and generate areport specific to the media information operation message. For example,a data list is established. The data list includes a sequence number andcontent (including an identifier of the first user, an identifier ofoperated media information, and an identifier and a meaning of theoperation) of each media information operation message, a moment atwhich the media information operation message is received, and the like.During specific implementation, an identifier corresponding to eachoperation may be preset in the server and the client.

FIG. 2 is a schematic diagram of a list of media information operationmessages according to an embodiment of this application. As shown inFIG. 2, on a social application platform, a user A makes a comment on anadvertisement 1, and then, a client (e.g., a terminal), which the user Alogs into, sends a media information operation message to a server. Themedia information operation message has a sequence number of 1, andcarries an identifier “user A” of a first user, an identifier“advertisement 1” of media information, and an identifier “3”corresponding to the comment operation, and a moment at which the serverreceives the media information operation message is 9:25. For anotherexample, a user B performs a Like operation on news 1, and then, aclient to which the user B logs into sends a media information operationmessage to the server. The media information operation message has asequence number of 2, and carries an identifier “user B” of a firstuser, an identifier “news 1” of media information, and an identifier “1”corresponding to the Like operation, and a moment at which the serverreceives the media information operation message is 9:40. It may belearned that, media information operation messages received by theserver may include operations performed by different first users ondifferent media information.

In addition, in a media information operation message having a sequencenumber of 3, a first user is also the user A, operated media informationis an advertisement 2, and an “Unlike” operation is performed. It may belearned that, media information operation messages received by theserver may include operations performed by a same first user ondifferent media information. On the other hand, “Unlike” and “Un-vote”operations are used as inverse operations, representing that a firstuser may have performed a Like operation, and later a Down-voteoperation on the media information previously. Therefore, it may belearned that, media information operation messages received by theserver may further include different operations performed by a samefirst user on a same piece of media information.

In addition, a user C performs a Like operation on the advertisement 1,and then, a client, which the user C logs into, sends a mediainformation operation message to the server. The media informationoperation message has a sequence number of 4, and carries an identifier“user C” of a third user, the identifier “advertisement 1” of the mediainformation, and an identifier “1” corresponding to the Like operation,and a moment at which the server receives the media informationoperation message is 13:09. For another example, a user D performs acomment operation on the advertisement 1, and then, a client, which theuser D logs into, sends a media information operation message to theserver. The media information operation message has a sequence number of5, and carries an identifier “user D” of a fourth user, the identifier“advertisement 1” of the media information, and the identifier “3”corresponding to the comment operation, and a moment at which the serverreceives the media information operation message is 17:00. It may belearned that, media information operation messages received by theserver may include operations performed by different first users on asame piece of media information.

Step 102: Obtain a social relationship chain of the first usercorresponding to each media information operation message, the socialrelationship chain of the first user including at least one second userhaving a social relationship with the first user.

In this step, the social relationship chain of the first user is a setof all second users having a social relationship with the first user ora set of some second users having a social relationship with the firstuser. For example, the social relationship chain is a friendship chain,and a second user is a friend of the first user. Social relationshipchains of multiple first users may include a same second user, that is,multiple first users have a common friend.

FIG. 3 is a schematic diagram of a list of social relationship chainsaccording to an embodiment of this application. As shown in FIG. 3,corresponding to the media information operation message having thesequence number of 1 in FIG. 2, the corresponding first user is the userA. and a social relationship chain of the user A includes a friend A1, afriend A2, . . . , a friend AN. For another example, the first usercorresponding to the media information operation message having thesequence number of 4 is the user C, and a social relationship chain ofthe user C includes a friend A1, a friend C2, . . . , and a friend CN.For another example, the first user corresponding to the mediainformation operation message having the sequence number of 5 is theuser D, and a social relationship chain of the user D includes a friendA1, a friend D2, . . . , and a friend DN. It may be learned that,friendship chains of the user A, the user C, and the user D include asame second user, namely, the friend A1.

Step 103: Collect statistics on operation statistical data of eachsecond user in each social relationship chain according to each piece ofdetermined media information and each determined operation.

In this step, for each of the at least one determined second user,statistics on the operation statistical data of the second user may becollected according to the log data. The operation statistical data ofthe second user includes identifiers of multiple pieces of mediainformation and an operation weight of each piece of media information.Specifically, in some embodiments of this application, for each seconduser, statistics on each piece of media information and each operationcorresponding to each first user in a social relationship chain of thesecond user may be collected, to obtain the operation statistical dataof the second user. That is, an operation performed by a first user onmedia information is mapped to operation statistical data of a seconduser by using a social relationship chain, to represent mediainformation to which the second user as a friend is radiated to.

For example, referring to FIG. 3, the second user is the friend A1, andfirst users in a social relationship chain of the friend A1 include theuser A, the user C, and the user D. Referring to FIG. 2, the user Acorresponds to the media information being the “advertisement 1” and the“comment” operation and corresponds to the media information being the“advertisement 2” and the “Unlike” operation; the user C corresponds tothe media information being the “advertisement 1” and the “Like”operation; and the user D corresponds to the media information being the“advertisement 1” and the “comment” operation.

In this step, the operation statistical data is specific to each seconduser, and provides each piece of corresponding media information and theoperation weight of each piece of media information. When statistics onthe operation statistical data of each second user in each socialrelationship chain is collected, for each second user, first, all piecesof media information corresponding to each first user in the socialrelationship chain of the second user are determined and are identifiedas k−1, . . . , and K. For example, using an example in which the seconduser is the friend A1, at the predetermined time interval, mediainformation corresponding to the first users in the social relationshipchain of the friend A1 includes: the “advertisement 1”, the“advertisement 2”, . . . , and an “advertisement X”.

The following operations are performed on each piece of mediainformation corresponding to each first user in the social relationshipchain of the second user:

A) Each operation performed on the media information and the at leastone first user performing each operation are determined.

As described above, using an example in which the second user is thefriend A1 and the media information is the “advertisement 1”, operationsperformed on the advertisement 1 include the “comment” operation and the“Like” operation. First users performing the “comment” operation includethe user A and the user D, and a first user performing the “Like”operation includes the user C.

B) For each operation, a sub weight of the operation is calculatedaccording to a popularity coefficient of each first user performing theoperation in the social relationship chain of the second user.

If a total quantity of first users performing a j^(th) operation is Mj,and a popularity coefficient of an i^(th) first user in the socialrelationship chain of the second user is denoted as Hi,j, where i=1, . .. , or Mj, for a k^(th) piece of media information, a sub weight of aj^(th) operation Wk,j may be calculated as:

$\begin{matrix}{\underset{k,j}{W} = \frac{\sum\limits_{\;{i = 1}}^{\underset{j}{M}}H_{j}}{\underset{j}{M}}} & (1)\end{matrix}$

In an embodiment, multi-level division may be performed on a socialrelationship chain according to characteristic factors and interactivebehaviors between every two users, and an application scenario. Acorresponding popularity coefficient is determined for each user in thesocial relationship chain according to a popularity level of the user.For example, the characteristic factors include: frequency that twousers contact each other on a social application platform, frequency ofaccessing a zone of a friend, a group of a friend obtained according toa relationship, a friend overlapping ratio, an interest matching degree,and the like. The interactive behaviors are operations performed on aninformation flow of a friend, and include a Like operation, a commentoperation, and the like. The application scenario is a scenario in whichthe operation is performed on the information flow of the friend, forexample, interaction performed in a birthday card.

In an embodiment, there are three popularity levels that arerespectively an “intimate relationship (a direct friend)”, a “strongrelationship chain (a direct friend)” and a “weak relationship chain (anindirect friend)”, and respectively correspond to popularitycoefficients 80%, 50%, and 30%. Direct friends, who are friends in anintimate relationship, include parents, a lover, a person particularlyconcerned about, and the like. Direct friends, who are in a strongrelationship chain, include a colleague, a classmate, an ordinaryfriend, a working partner, and the like. Indirect friends, who are in aweak relationship chain, include a friend of a direct friend, a personhaving a common friend group but not a direct friend, and the like.Division of the popularity levels and values of the popularitycoefficients are merely examples above, and there may be anotherdivision manner. This is not specifically limited in this application.

FIG. 4 is a schematic diagram of a list of popularity coefficientsaccording to an embodiment of this application. As shown in FIG. 4, inthe first users, a popularity coefficient of the user A in the socialrelationship chain of the friend A1 is 80%, and a popularity coefficientof the user D in the social relationship chain of the friend A1 is 50%.Therefore, for the “comment” operation, it may be calculated, accordingto the foregoing formula (1), that a sub weight of the “comment”operation is 0.65. For another example, the first users further includethe user C. A popularity coefficient of the user C in the socialrelationship chain of the friend A1 is 30%. Therefore, for the “Like”operation, it may be calculated, according to the foregoing formula (1),that a sub weight of the “Like” operation is 0.3.

C) An operation weight of each piece of media information is calculatedaccording to a preset priority of each operation and the calculated subweight of each operation.

If a priority factor of the j^(t) operation is Pj, and total quantity ofoperations corresponding to the k^(th) piece of media information is Mk,an operation weight Wk of the k^(th) piece of media information is:

$\begin{matrix}{\underset{k}{W} = {\sum\limits_{j = 1}^{\underset{k}{M}}{\underset{k,j}{W} \cdot \underset{j}{P}}}} & (2)\end{matrix}$

For example, a sorting result obtained in descending order of prioritiesof the operations is: the “comment” operation, the “Like” operation, the“Repost” operation, the “Favorite” operation, and the “Down-vote”operation, and corresponding priority factors are respectively 90%, 80%,60%, 30%, and −10%. Opposite values of the “Like” operation and the“Down-vote” operation are used as priority factors of two inverseoperations, that is, the “Unlike” operation and the “Un-vote” operation,that is, −80% and 10%. Therefore, in the foregoing example, an operationweight of the media information being the “advertisement 1” is0.65*90%+0.3*80%=0.825.

It may be learned from the foregoing steps that, the operationstatistical data of each second user includes identifiers of multiplepieces of media information and an operation weight of each piece ofmedia information. In addition, the operation statistical data of eachsecond user is stored by using the user identifier of each second useras an index, to indicate the user corresponding to the operationstatistical data.

Step 104: Receive a media information obtaining request of a third user,and select, when operation statistical data of the third user is foundfrom the operation statistical data of the second user, at least onepiece of media information from the operation statistical data of thethird user, and return the at least one piece of media information to asecond client (a terminal).

When the third user logs into the second client, the second client sendsa media information obtaining request to the server. The server searchesthe operation statistical data of each second user for the operationstatistical data of the third user. In some embodiments of thisapplication, the media information obtaining request may include a useridentifier of the third user. In this case, the server may search,according to the user identifier of the third user, the operationstatistical data of the second user stored in the server for theoperation statistical data corresponding to the user identifier of thethird user. When the operation statistical data is found, the at leastone piece of media information is selected from the operationstatistical data of the third user, and the at least one piece of mediainformation is sent to the second client. A quantity of pieces ofselected media information may be preset. For example, the quantity maybe preset according to propagation needs of a media informationpromoter. Specifically, in some embodiments of this application, mediainformation may be selected according to an operation weight of mediainformation included in the operation statistical data. For example, apredetermined quantity of media information having a largest operationweight is selected, and the selected media information is returned tothe second client. In some embodiments of this application, selectionmay be performed or further performed according to a special directingrule. In this application, the foregoing method for selecting mediainformation according to an operation weight of the media informationand/or a special directing rule is described in detail below.

In this embodiment, at least one media information operation message isreceived from at least one first client; a social relationship chain ofthe first user corresponding to each media information operation messageis obtained; statistics on operation statistical data of each seconduser in each social relationship chain is collected according to eachpiece of determined media information and each determined operation; asecond client receives a media information obtaining request of a thirduser; and when operation statistical data of the third user is foundfrom the operation statistical data of the second user, at least onepiece of media information is selected from the operation statisticaldata of third user, and the at least one piece of media information issent to the second client, so that promotion of the media information isradiated to the second user by means of an operation of the first userand the social relationship chain. For example, a group to which mediainformation is promoted in a directed manner does not include a seconduser, but by the above described technical solutions of the presentdisclosure, the second user can receive the media information. It may belearned that, media information promotion channel is found, and a mediainformation presentation range and promotion depth are increased, sothat audiences receiving the media information are extended from thedirected group to a variable social group. In addition, the servercollects statistics on the operation statistical data of the seconduser, and when receiving a media information obtaining request, may pushthe media information in real time, thereby lowering a response delayfor a media information request. Therefore, by means of the technicalsolution, efficiency of promoting the media information and resourceutilization of a media information presentation device are improved.

In some embodiments, a media information presentation method isperformed at a computer server (1100 in FIG. 11) having one or moreprocessors and memory storing instructions to be executed by the one ormore processors that is communicatively connected to a plurality ofclients (FIG. 9). The plurality of clients (terminals) correspond to aplurality of users including first users, second users, and third users.The first users are directly or indirectly associated with the secondand third users.

The computer server 1100 receives at least one media informationoperation message that is used to indicate operations performed by afirst user on one piece of media information, and determines a firstuser and media information that correspond to each media informationoperation message and operations performed by the first user on themedia information. Then, the computer server 1100 generates log data,which include a sequence number of each media information operationmessage, an identifier of the corresponding first user, an identifier ofthe corresponding media information, and an identifier of thecorresponding operation.

After that, the computer server 1100 obtains a social relationship chainof each of the first users. The social relationship chain of a firstuser includes at least one second user who has a social relationshipwith the first user. Then, with regarding to each of the second users,the computer server collects statistics on operation statistical data ofthe second user according to the log data. The operation statisticaldata of the second user include identifiers of a plurality of pieces ofmedia information and operation weights of these pieces of mediainformation.

Moreover, the computer server 1100 also receives a media informationobtaining request from a third user. After receiving the request, if thecomputer server 1100 finds operation statistical data of the third userfrom the operation statistical data of the second user, the computerserver selects at least one piece of media information from theoperation statistical data of the third user, and returns the at leastone piece of media information to the second user.

FIG. 5 is a schematic flowchart of a media information presentationmethod according to another embodiment of this application. As shown inFIG. 5, the method includes the following steps.

Step 501: Receive at least one media information operation message fromat least one first client, each media information operation messagebeing used to indicate an operation performed by a first user on a pieceof media information.

In this step, each first client receives an operation performed by afirst user on a piece of media information, and sends a mediainformation operation message to a server.

FIG. 6 is a schematic diagram of an interface of an operation on mediainformation according to an embodiment of this application. As shown inFIG. 6, an information flow received by a first client is displayed onan interface 600. A piece of media information: an advertisement 1 isdisplayed in a box 610, a title is “Didi taxi”, and a correspondingteletext is provided. Multiple user operation options are provided inthe box 620, and include a Like option 621, a Down-vote option 622, acomment option 623, a Repost option 624, and a Favorite option 625. TheLike option 621, the Down-vote option 622, and the comment option 623all provide a comment function. The Like option 621 and the Down-voteoption 622 are used to perform operations in terms of positive andnegative aspects, and a user may perform a Like operation, an Unlikeoperation, a Down-vote operation, and an Un-vote operation. Aftertapping the comment option 623, the user enters specific commentinformation in a box 630.

After a first user logs into a first client (a terminal), and performsan operation on any one of the foregoing user operation options, thefirst client sends, to the server, a media information operation messagecarrying an identifier of the first user, an identifier of mediainformation, and an identifier of the performed operation.

Step 502: For each media information operation message, send, when it isdetermined that the media information operation message is associatedwith a second user, a media information operation message to a thirdclient (a terminal) where the second user locates.

Herein, that the media information operation message is associated witha second user means that, the operation performed by the first user onthe media information is directed to a second user. For example, theoperation performed by the first user on the media information isreplying a comment that is previously made by the second user, or thefirst user adds an identifier of the second user when making a newcomment, for example, uses a manner of “@ the second user”. In thiscase, the media information operation carries not only the identifier ofthe operation message but also the added identifier of the second user.

Alternatively, that the media information operation message isassociated with a second user means that: the first user has a specialauthority in a social relationship chain of the second user. Forexample, according to a preset social protocol, the first user in thesocial relationship chain of the second user is a special friend. Then,after the first user makes a comment, the server can determine,according to the preset social protocol, that the media informationoperation message is associated with the second user.

When it is determined that the media information operation message isassociated with the second user, the server sends the media informationoperation message to the third client of the second user, so that thethird client outputs a prompt option according to the media informationoperation message, and presents the media information operation messageafter receiving an operation performed by the second user on the promptoption.

FIG. 7a is a schematic diagram of an interface for outputting a promptoption according to an embodiment of this application. As shown in FIG.7a , on an interface 710 of the third client, an information floworiented to a second user is displayed in a box 711, and may includeinformation about a friend of the second user, media informationinitially directed to the second user, and one or more pieces of mediainformation selected by the server according to operation statisticaldata. The prompt option is displayed in a box 712, and is represented bya text “related to me” in 7121, and a quantity 3 of media informationoperation messages displayed in 7122.

FIG. 7b is a schematic diagram of an interface for presenting a mediainformation operation message according to an embodiment of thisapplication. When the second user taps 7121 or 7122 in FIG. 7a , thesecond client enters an interface 720 to present the media informationoperation message. For example, for a media information operationmessage, information about a first user is displayed, and includes anickname of a user A displayed in a box 721 and an avatar of the user Adisplayed in a box 722. An operation performed by the first user isdisplayed in a box 723, that is, a text comment “Awesome!” is made.Media information operated by the first user is displayed in a box 724,for example, a form is a thumbnail of the advertisement 1 “Didi taxi”.

Step 503: Receive a first user operation indication for the promptoption from the third client, and count, based on a first user operationindication received within a first predetermined time period, a quantityof times of presenting the media information operation message.

For example, as described above, after the third client enters from theinterface in FIG. 7a to the interface in FIG. 7b , the media informationoperation message is presented. The server may count, by receiving thefirst user operation indication for the prompt option, a quantity oftimes of presenting the media information operation message to thesecond user.

Step 504: Receive a second user operation indication for the mediainformation operation message from the third client, and count, based ona second user operation indication received within a secondpredetermined time period, a quantity of times of presenting the mediainformation.

As described above, after the second user taps the box 724 in FIG. 7b ,an interface of the third client is changed to an original interface inwhich a first user performs an operation on media information and shownin FIG. 6. In this way, the server counts, by receiving the second useroperation indication for the media information, the quantity of times ofpresenting the media information.

Step 502 to step 504 include operations performed when media informationoperation message is associated with a second user, and passiveinformation reminding is implemented for information promotion by usinga social relationship chain. In addition, in the presentation methodshown in FIG. 1, after step 501 is performed in the embodiment in FIG.5, step 505 to step 508 may continue to be performed.

Step 505: Determine, according to the at least one media informationoperation message, each piece of media information and each operationcorresponding to each first user.

Step 506: Obtain a social relationship chain of the first usercorresponding to each media information operation message.

It is considered that a large quantity of second users are included inthe social relationship chain of the first user. In this case, theserver may select, from a complete social relationship chain accordingto a popularity coefficient of a friend, second users having higherpopularity, for example, select second users whose popularity is rankedthe top 100.

According to step 505 and step 506, the server may establish thefollowing data structure for storage: {u0, sns_id, acttype, (u1, w1),(u2, w2) . . . , (u100, w100)}, where u0 indicates a first userperforming an operation on media information, sns_id indicates anidentifier of radiated media information, acttype indicates anidentifier of the performed operation, ui (i=1, . . . , or 100)indicates a friend of u0, and wi indicates popularity of the friend in asocial relationship chain of u0.

Step 507: Collect statistics on operation statistical data of eachsecond user in each social relationship chain according to each piece ofdetermined media information and each determined operation.

In an embodiment, in consideration of that a relatively large quantityof media information operation messages are received at thepredetermined time interval, media information corresponding to firstusers in a social relationship chain of a second user may be eliminated.A specific method is as follows:

For each second user, for each piece of media information correspondingto each first user in the social relationship chain of the second user,a final moment at which a media information operation messagecorresponding to the media information is received is recorded; and allthe pieces of media information are sorted in descending order accordingto the moments, and media information corresponding to top V moments areselected according to the sorting in descending order, for statisticscollection, to obtain the operation statistical data of the second user,where V is a positive integer greater than or equal to 1.

For example, in the media information operation messages shown in FIG.2, the first users in the social relationship chain of the friend A1include the user A, the user C. and the user D. The three users allcorrespond to the media information being the “advertisement 1”. In thereceived media information operation messages (the sequence numbers arerespectively 1, 4, and 5) corresponding to the “advertisement 1”, themedia information operation message having the sequence number of 5 isfinally received, and a final receiving moment is 17:00, and then, the“advertisement 1” corresponding to the moment is recorded. In this way,each piece of media information is recorded with a final receivingmoment.

Then, all the pieces of media information are sorted in descending orderaccording to the moments, and the media information corresponding to thetop V moments are selected according to the sorting in descending order,to collect statistics on the operation statistical data of the seconduser. For example, V=100.

By means of this step, the server may establish a data structure of theoperation statistical data for storage in a form of a key-a value. Forexample, the data structure may be represented as (key, value). Using anexample in which operations are a Like operation and a commentoperation, an operation weight of each piece of media information isstored as a sub weight of each operation, where a key is an identifieruin of a second user, and a value is {(sns_id0, zan_num, ping_num,zan_weight, ping_weight, timestamp) . . . (sns_id100, zan_num, ping_num,zan_weight, ping_weight, timestamp)}, where sns_id indicates anidentifier of media information to which a friend is radiated, zan_numindicates a quantity of Like operations performed by a friend, ping_numindicates a quantity of comments made by a friend, zan_weight indicatesa sub weight obtained after the quantity of Like operations andpopularity of the friend performing a Like operation are integrated,ping_weight indicates a sub weight obtained after the quantity ofcomments and popularity of the friend making a comment are integrated,and timestamp indicates a final receiving moment. In Value, storage of100 data packets may be limited, and the elimination is performedaccording to timestamp.

Step 508: Receive a media information obtaining request of a third userfrom a second client, and select, when operation statistical data of thethird user is found from the operation statistical data of the seconduser, at least one piece of media information from the operationstatistical data of the third user, and send the at least one piece ofmedia information to the second client.

In this step, the server first searches the operation statistical dataof each second user for the operation statistical data corresponding tothe third user, that is, determines whether the third user has mediainformation to which a friend of the third user is radiated. Then, theat least one piece of media information is selected from the operationstatistical data of the third user. Specifically, the following twomanners may be used.

A first manner: Selection is performed according to the operation weightof each piece of media information.

Specifically, as described in step 103, the operation statistical dataincludes identifiers of multiple pieces of media information and anoperation weight of each piece of media information, the operationweights of all the pieces of media information in the operationstatistical data of the third user are sorted in descending order, andthe media information corresponding to the top L operation weights areselected according to the sorting in descending order, where L is apositive integer greater than or equal to 1. For example, when L=1, onlyone piece of media information in the operation statistical data ispushed each time.

Second manner: Selection is performed according to a special directingrule.

In an embodiment, the special directing rule is to associate a type ofmedia information to user attribute information. If a piece of mediainformation is of a preset type of media information and attributeinformation of the third user satisfies a preset attribute category, themedia information is selected. The user attribute information includes agender, an age, a marital status, or the like of a user.

FIG. 8a is a schematic diagram of an interface of a special directingrule according to an embodiment of this application. As shown in FIG. 8a, preset types of media information include a wine advertisement, a loveand marriage advertisement, and a maternity center advertisement, andindustry codes of the three types of advertisements are respectivelyprovided. Under the special directing rule, based on attributeinformation of a third user, media information may be forcedly directedto “age>=18”, “single” and “age>=18”, and “married male+married female”,respectively.

In another embodiment, the special directing rule is to performassociation by using a type of an operating system. If a type of anoperating system in which the second client is located is the same as atype of an operating system to which a piece of media informationbelongs, the media information is selected.

FIG. 8b is a schematic diagram of an interface of a special directingrule according to another embodiment of this application. As shown inFIG. 8b , for example, if a piece of media information is applied to anAPP in an iOS operating system, the media information is pushed, in adirected manner, to a second client applied to the iOS operating system,that is, forcedly directed to an iOS user. For another example, if apiece of media information is applied to an APP in an Android operatingsystem, the media information is pushed, in a directed manner, to asecond client applied to the Android operating system, that is, forcedlydirected to an Android user.

It should be noted that, the media information selection methods shownin the first manner and the second manner may be combined. For example,selection may be performed first according to the special directing rulein the second manner, and then, L pieces of media information having alargest operation weight are selected from the selected mediainformation, as final selection results.

In this embodiment, for each media information operation message, whenit is determined that the media information operation message isassociated with a second user, a media information operation message issent to a third client of the second user, so that passive informationreminding is implemented for media information, more interaction in anadvertisement is triggered, and coverage of advertisement promotion isimproved. In addition, the server can collect, based on the first useroperation indication and the second user operation indication that arereceived from the third client, statistics on exposure that the mediainformation is passively radiated to a second user and exposure that thesecond user enters an advertisement detail page. This is advantageous tocollect statistics on traffic for passive information reminding andevaluate a promotion effect achieved by passive reminding.

Further, media information to be presented to a friend is selected byusing an operation weight of each piece of media information, so thatmedia information that is originally not directed to the friend ispresented; or media information that is not preferentially presented tothe friend is preferentially pushed to the friend for presentationbecause of an increase in a weight, so that promotion of mediainformation is not limited by original directing, efficient propagationis implemented from points to surfaces by using a social relationshipchain, and more social expandable space is increased. In addition, mediainformation to be presented is filtered by selecting the specialdirecting rule, so that based on the social relationship chain, adirecting rule for pushing media information to a friend is furtherlimited, and directing policies that can be combined are provided,thereby meeting various promotion requirements of a media informationpromoter.

FIG. 9 is a schematic interaction diagram of a media informationpresentation method according to an embodiment of this application,performed by a server, at least one first client, a second client, and athird client. A first user corresponding to the first client initiatesan operation on a piece of media information, a second usercorresponding to the second client and a third user corresponding to thethird client are respectively in a social relationship chain with thefirst user. The second user receives a passive information reminder, andthe third user receives media information operated by the first user. Asshown in FIG. 9, the method includes the following steps.

Step 901: Each first client receives an operation performed by a firstuser on a piece of media information.

Step 902: Each first client sends a media information operation messageto the server.

Step 903: For each media information operation message, the serverdetermines whether the media information operation message is associatedwith a second user. The second user is in a social relationship chain ofthe first user.

Step 904: When determining that the media information operation messageis associated with a second user, the server sends a media informationoperation message to a second client of the second user.

Step 905: The second client outputs a prompt option according to themedia information operation message.

Step 906: The second client presents the media information operationmessage after receiving an operation performed by the second user on theprompt option, and sends a first user operation indication for theprompt option to the server.

Step 907: The server counts, based on a first user operation indicationreceived at a first predetermined time period, a quantity of times ofpresenting the media information operation message.

Step 908: The second client sends a second user operation indication tothe server after receiving an operation performed by the second user onthe media information operation message.

Step 909: The server counts, based on a second user operation indicationreceived at a second predetermined time period, a quantity of times ofpresenting the media information.

By means of step 903 to step 909, passive information reminding isimplemented for a friend in a social relationship chain.

Step 910: Determine, according to the at least one media informationoperation message, each piece of media information and each operationcorresponding to each first user, and generate log data.

Step 911: The server obtains a social relationship chain of the firstuser corresponding to each media information operation message, andgenerate operation statistical data of each second user in each socialrelationship chain according to each piece of determined mediainformation and each determined operation.

Step 912: The third client receives a login operation of a third user,and sends a media information obtaining request to the server.

Step 913: The server searches the operation statistical data of eachsecond user for operation statistical data of the third user. If theoperation statistical data of the third user is found, (the third usermay belong to a set of second users, and in this case, the server canfind the operation statistical data of the third user from the operationstatistical data of the second user), step 915 is performed; otherwise,(that is, the third user does not belong to a set of second users, andin this case, the server cannot find the operation statistical data ofthe third user from the operation statistical data of the second user),step 914 is performed.

Step 914: The server returns an ordinary information flow of the thirduser to the third client, including information about a friend of thethird user and one or more pieces of media information directed to thethird user in advance.

Step 915: The server selects at least one piece of media informationfrom the operation statistical data of the third user, and returns anordinary information flow of the third user and the at least one pieceof selected media information to the third client.

Step 916: The third client presents the information flow received fromstep 914 or step 915.

FIG. 10 is a schematic structural diagram of a server 1000 according toan embodiment of this application. As shown in FIG. 10, the server 1000includes: a receiving module 1010, configured to: receive at least onemedia information operation message, each media information operationmessage being used to indicate an operation performed by a first user ona piece of media information; and receive a media information obtainingrequest of a third user;

a determining module 1020, configured to determine, according to the atleast one media information operation message received by the receivingmodule 1010, each piece of media information and each operationcorresponding to each first user;

an obtaining module 1030, configured to obtain a social relationshipchain of the first user corresponding to each media informationoperation message, the social relationship chain of the first userincluding at least one second user having a social relationship with thefirst user;

a statistics collection module 1040, configured to collect statistics onoperation statistical data of each second user in each socialrelationship chain according to each piece of media information and eachoperation that are determined by the determining module 1020 and thesocial relationship chain obtained by the obtaining module 1030, foreach second user, statistics on each piece of media information and eachoperation corresponding to each first user in a social relationshipchain of the second user being collected, to obtain the operationstatistical data of the second user;

a selection module 1050, configured to select, based on the mediainformation obtaining request received by the receiving module 1010,when operation statistical data of the third user is found from theoperation statistical data of the second user obtained by the statisticscollection module 1040, at least one piece of media information from theoperation statistical data of the third user; and

a sending module 1060, configured to return the at least one piece ofmedia information selected by the selection module 1050.

In an embodiment, operations performed by a first user on a piece ofmedia information include a Like operation, an Unlike operation, aDown-vote operation, an Un-vote operation, a comment operation, a Repostoperation, a Favorite operation, and the like.

The statistics collection module 1040 is configured to: for each seconduser, perform the following operations on each piece of mediainformation corresponding to each first user in the social relationshipchain of the second user; determining each operation performed on themedia information and the at least one first user performing eachoperation; for each operation, calculating a sub weight of the operationaccording to a popularity coefficient of each first user performing theoperation in the social relationship chain of the second user; andcalculating an operation weight of each piece of media informationaccording to a preset priority of each operation and the calculated subweight of each operation.

In an embodiment, the operation statistical data includes identifiers ofmultiple pieces of media information and an operation weight of eachpiece of media information.

The selection module 1050 is configured to: sort operation weights ofall pieces of media information in the operation statistical data of thethird user in descending order, and select, according to the sorting indescending order, media information corresponding to top L operationweights, where L is a positive integer greater than or equal to 1.

In an embodiment, the selection module 1050 is configured to: select, ifa piece of media information is of a preset type of media informationand attribute information of the third user satisfies a preset attributecategory, the media information; and/or

select, if a type of an operating system in which a client sending themedia information obtaining request is located is the same as a type ofan operating system to which a piece of media information belongs, themedia information.

In an embodiment, the sending module 1060 is further configured to: foreach media information operation message, send, when it is determinedthat the media information operation message is associated with a seconduser, the media information operation message to a client of the seconduser, so that the client outputs a prompt option according to the mediainformation operation message, and presents the media informationoperation message after receiving an operation performed by the seconduser on the prompt option.

In an embodiment, the receiving module 1010 is further configured toreceive a first user operation indication for the prompt option; and

the statistics collection module 1040 is further configured to count,based on a first user operation indication received by the receivingmodule 1010 within a first predetermined time period, a quantity oftimes of presenting the media information operation message; and/or

the receiving module 1010 is further configured to receive a second useroperation indication for the media information operation message; and

the statistics collection module 1040 is further configured to count,based on a second user operation indication received by the receivingmodule 1010 within a second predetermined time period, a quantity oftimes of presenting the media information.

In an embodiment, the statistics collection module 1040 is furtherconfigured to: for each second user, for each piece of media informationcorresponding to each first user in the social relationship chain of thesecond user, record a final moment at which a media informationoperation message corresponding to the media information is received;and sort all the pieces of media information in descending orderaccording to the moments, and select, according to the sorting indescending order, media information corresponding to top V moments, forstatistics collection, to obtain the operation statistical data of thesecond user, where V is a positive integer greater than or equal to 1.

FIG. 1 is a schematic structural diagram of a server 1100 according toanother embodiment of this application. The server 1100 includes aprocessor 1110, a memory 1120, a port 1130, and a bus 1140. Theprocessor 1110 and the memory 1120 are interconnected by using the bus1140. The processor 1110 may receive and send data by using the port1130.

The processor 1110 is configured to execute machine readable instructionmodules stored in the memory 1120.

The memory 1120 stores the machine readable instruction modules that canbe executed by the processor 1110. The instruction modules that can beexecuted by the processor 1110 includes a receiving module 1121, adetermining module 1122, an obtaining module 1123, a statisticscollection module 1124, a selection module 1125, and a sending module1126.

When being executed by the processor 1110, the receiving module 1121 mayreceive at least one media information operation message, each mediainformation operation message being used to indicate an operationperformed by a first user on a piece of media information; and receive amedia information obtaining request of a third user.

When being executed by the processor 1110, the determining module 1122may determine, according to the at least one media information operationmessage received by the receiving module 1121, each piece of mediainformation and each operation corresponding to each first user.

When being executed by the processor 1110, the obtaining module 1123 mayobtain a social relationship chain of the first user corresponding toeach media information operation message, the social relationship chainof the first user including at least one second user having a socialrelationship with the first user.

When being executed by the processor 1110, the statistics collectionmodule 1124 may collect statistics on operation statistical data of eachsecond user in each social relationship chain according to each piece ofmedia information and each operation that are determined by thedetermining module 1122 and the social relationship chain obtained bythe obtaining module 1123, for each second user, statistics on eachpiece of media information and each operation corresponding to eachfirst user in a social relationship chain of the second user beingcollected, to obtain the operation statistical data of the second user.

When being executed by the processor 1110, the selection module 1125 mayselect, based on the media information obtaining request received by thereceiving module 1121, when operation statistical data of the third useris found from the operation statistical data of the second user obtainedby the statistics collection module 1124, at least one piece of mediainformation from the operation statistical data of the third user.

When being executed by the processor 1110, the sending module 1126 mayreturn the at least one piece of media information selected by theselection module 1125.

It may be learned from the above that, when being executed by theprocessor 1110, the instruction modules stored in the memory 1120 canimplement various functions of the receiving module, the determiningmodule, the obtaining module, the statistics collection module, theselection module, and the sending module in the foregoing embodiments.

In the foregoing apparatus embodiment, a specific method forimplementing, by each module and unit, a function thereof is describedin the method embodiment, and details are not described herein again.

In addition, functional modules in the embodiments of this applicationmay be integrated into one processing unit, or each of the modules mayexist alone physically, or two or more modules are integrated into oneunit. The integrated unit may be implemented in a form of hardware, ormay be implemented in a form of a software functional unit.

In addition, each embodiment of this application may be implemented byusing a data processing device such as a data processing programperformed by a computer. Apparently, the data processing programconstitutes this application. In addition, a data processing programgenerally stored in a storage medium is performed by directly readingthe program from the storage medium or installing or copying the programto a storage device (such as a hard disk and/or memory) of a dataprocessing device. Therefore, such a storage medium also constitutesthis application. The storage medium may use a record manner of anytype, for example, a paper storage medium (such as a paper tape), amagnetic storage medium (such as a floppy disk, a hard disk, or a flashmemory), an optical storage medium (such as a CD-ROM), or a magneticoptical storage medium (such as an MO).

Therefore, this application further discloses a storage medium, storinga data processing program. The data processing program is configured toperform any one of the embodiments of the method in this application.

The descriptions above are merely preferred embodiments of thisapplication, and are not intended to limit this application. Anymodification, equivalent replacement, or improvement made within thespirit and principle of this application shall fall within theprotection scope of this application.

What is claimed is:
 1. A media information presentation method performedat a computer server having one or more processors and memory storinginstructions to be executed by the one or more processors that iscommunicatively connected to a plurality of terminals associated with asocial networking platform, the method comprising: receiving, at thecomputer server, a plurality of media information operation messages,each message indicating an operation performed on a piece ofadvertisement by a respective one of a first group of users of thesocial networking platform; deriving, at the computer server, a secondgroup of users of the social networking platform, wherein each member ofthe second group of users is a direct connection of one or more of thefirst group of users on the social networking platform; collecting, atthe computer server and from the plurality of media informationoperation messages associated with the first group of users, statisticson operation statistical data of the second group of users, theoperation statistical data comprising identifiers of a plurality ofpieces of advertisement and an operation weight of each of the pluralityof pieces of advertisement; and receiving, at the computer server, amedia information obtaining request from a respective user of the secondgroup of users at a terminal; in response to the media informationobtaining request, identifying, from the operation statistical data, aplurality of pieces of advertisement corresponding to the respectiveuser, sorting the plurality of pieces of advertisement according totheir corresponding operation weights associated with the respectiveuser; and returning, to the terminal, top L pieces of advertisement inthe descending order, wherein L is a positive integer greater than orequal to
 1. 2. The method according to claim 1, wherein the operationperformed by a user of the first group of users on the advertisement isa commenting or interaction operation performed by the user based on aninteractive control provided by an application client.
 3. The methodaccording to claim 1, wherein the collecting statistics on the operationstatistical data of the second group of users comprises: for a seconduser of the second group of users, collecting, according to theplurality of media information operation messages associated with thefirst group of users, statistics on at least one piece of advertisementcorresponding to a first user of the first group of users comprised in asocial relationship chain of the second user and a correspondingoperation, to obtain the operation statistical data of the second user.4. The method according to claim 3, wherein the collecting statistics onat least one piece of advertisement corresponding to a first user of thefirst group of users comprised in a social relationship chain of thesecond user and a corresponding operation comprises: for the seconduser, determining, according to the plurality of media informationoperation messages associated with the first group of users, the firstuser comprised in the social relationship chain of the second user, theadvertisement corresponding to the first user, and the operationcorresponding to the first user; and for each operation, calculating asub weight of each operation according to a popularity coefficient ofthe first user performing each operation in the social relationshipchain of the second user; and calculating an operation weight of eachpiece of advertisement according to a preset priority of each operationand the calculated sub weight of each operation.
 5. The method accordingto claim 1, wherein the identifying a plurality of pieces ofadvertisement corresponding to the respective user comprises: selectingthe at least one piece of advertisement, if the at least one piece ofadvertisement is of a preset type of advertisement and attributeinformation of the respective user satisfies a preset attributecategory.
 6. The method according to claim 1, wherein the identifying aplurality of pieces of advertisement corresponding to the respectiveuser comprises: selecting the at least one piece of advertisement, ifthe terminal associated with the respective user has a same operatingsystem as one to which the at least one piece of advertisement belongs.7. The method according to claim 1, wherein the collecting statistics onthe operation statistical data of the second group of users comprises:for a plurality of pieces of advertisement corresponding to each memberof the second group of users and the corresponding one or more of thefirst group of users, recording each of moments at which the mediainformation operation message corresponding to each of the plurality ofpieces of advertisement is received; and sorting the plurality of piecesof advertisement in a descending order according to the moments, andselecting, according to the sorting in the descending order,advertisement corresponding to top V moments of the moments, forstatistics collection, to obtain the operation statistical data of themember of the second group of users from the plurality of mediainformation operation messages associated with the first group of users,wherein V is a positive integer greater than or equal to
 1. 8. Acomputer server that is communicatively connected to a plurality ofterminals associated with a social networking platform, comprising: oneor more processors; memory coupled to the one or more processors; and aplurality of instructions stored in the memory that, when executed bythe one or more processors, cause the computer server to perform thefollowing operations: receiving, at the computer server, a plurality ofmedia information operation messages, each message indicating anoperation performed on a piece of advertisement by a respective one of afirst group of users of the social networking platform; deriving, at thecomputer server, a second group of users of the social networkingplatform, wherein each member of the second group of users is a directconnection of one or more of the first group of users on the socialnetworking platform; collecting, at the computer server and from theplurality of media information operation messages associated with thefirst group of users, statistics on operation statistical data of thesecond group of users, the operation statistical data comprisingidentifiers of a plurality of pieces of advertisement and an operationweight of each of the plurality of pieces of advertisement; andreceiving, at the computer server, a media information obtaining requestfrom a respective user of the second group of users at a terminal; inresponse to the media information obtaining request, identifying, fromthe operation statistical data, a plurality of pieces of advertisementcorresponding to the respective user; sorting the plurality of pieces ofadvertisement according to their corresponding operation weightsassociated with the respective user; and returning, to the terminal, topL pieces of advertisement in the descending order, wherein L is apositive integer greater than or equal to
 1. 9. The computer serveraccording to claim 8, wherein the operation performed by a user of thefirst group of users on the advertisement is a commenting or interactionoperation performed by the user based on an interactive control providedby an application client.
 10. The computer server according to claim 8,wherein the collecting statistics on the operation statistical data ofthe second group of users comprises: for a second user of the secondgroup of users, collecting, according to the plurality of mediainformation operation messages associated with the first group of users,statistics on at least one piece of advertisement corresponding to afirst user of the first group of users comprised in a socialrelationship chain of the second user and a corresponding operation, toobtain the operation statistical data of the second user.
 11. Thecomputer server according to claim 10, wherein the collecting statisticson at least one piece of advertisement corresponding to a first user ofthe first group of users comprised in a social relationship chain of thesecond user and a corresponding operation comprises: for the seconduser, determining, according to the plurality of media informationoperation messages associated with the first group of users, the firstuser comprised in the social relationship chain of the second user, theadvertisement corresponding to the first user, and the operationcorresponding to the first user; and for each operation, calculating asub weight of each operation according to a popularity coefficient ofthe first user performing each operation in the social relationshipchain of the second user; and calculating an operation weight of eachpiece of advertisement according to a preset priority of each operationand the calculated sub weight of each operation.
 12. The computer serveraccording to claim 8, wherein the identifying a plurality of pieces ofadvertisement corresponding to the respective user comprises: selectingthe at least one piece of advertisement, if the at least one piece ofadvertisement is of a preset type of advertisement and attributeinformation of the respective user satisfies a preset attributecategory.
 13. The computer server according to claim 8, wherein theidentifying a plurality of pieces of advertisement corresponding to therespective user comprises: selecting the at least one piece ofadvertisement, if the terminal associated with the respective user has asame operating system as one to which the at least one piece ofadvertisement belongs.
 14. The computer server according to claim 8,wherein the collecting statistics on the operation statistical data ofthe second group of users comprises: for a plurality of pieces ofadvertisement corresponding to each member of the second group of usersand the corresponding one or more of the first group of users, recordingeach of moments at which the media information operation messagecorresponding to each of the plurality of pieces of advertisement isreceived; and sorting the plurality of pieces of advertisement in adescending order according to the moments, and selecting, according tothe sorting in the descending order, advertisement corresponding to topV moments of the moments, for statistics collection, to obtain theoperation statistical data of the member of the second group of usersfrom the plurality of media information operation messages associatedwith the first group of users, wherein V is a positive integer greaterthan or equal to
 1. 15. A non-transitory computer readable storagemedium storing a plurality of instructions configured for execution byone or more processors of a computer server, which is communicativelyconnected to a plurality of terminals associated with a socialnetworking platform, the plurality of instructions, when executed by theone or more processors, causing the computer server to perform thefollowing operations: receiving, at the computer server, a plurality ofmedia information operation messages, each message indicating anoperation performed on a piece of advertisement by a respective one of afirst group of users of the social networking platform; deriving, at thecomputer server, a second group of users of the social networkingplatform, wherein each member of the second group of users is a directconnection of one or more of the first group of users on the socialnetworking platform; collecting, at the computer server and from theplurality of media information operation messages associated with thefirst group of users, statistics on operation statistical data of thesecond group of users, the operation statistical data comprisingidentifiers of a plurality of pieces of advertisement and an operationweight of each of the plurality of pieces of advertisement; andreceiving, at the computer server, a media information obtaining requestfrom a respective user of the second group of users at a terminal; inresponse to the media information obtaining request, identifying, fromthe operation statistical data, a plurality of pieces of advertisementcorresponding to the respective user; sorting the plurality of pieces ofadvertisement according to their corresponding operation weightsassociated with the respective user; and returning, to the terminal, topL pieces of advertisement in the descending order, wherein L is apositive integer greater than or equal to
 1. 16. The non-transitorycomputer readable storage medium according to claim 15, wherein theoperation performed by a user of the first group of users on theadvertisement is a commenting or interaction operation performed by theuser based on an interactive control provided by an application client.17. The non-transitory computer readable storage medium according toclaim 15, wherein the collecting statistics on the operation statisticaldata of the second group of users comprises: for a second user of thesecond group of users, collecting, according to the plurality of mediainformation operation messages associated with the first group of users,statistics on at least one piece of advertisement corresponding to afirst user of the first group of users comprised in a socialrelationship chain of the second user and a corresponding operation, toobtain the operation statistical data of the second user.
 18. Thenon-transitory computer readable storage medium according to claim 15,wherein the identifying a plurality of pieces of advertisementcorresponding to the respective user comprises: selecting the at leastone piece of advertisement, if the at least one piece of advertisementis of a preset type of advertisement and attribute information of therespective user satisfies a preset attribute category.
 19. Thenon-transitory computer readable storage medium according to claim 15,wherein the identifying a plurality of pieces of advertisementcorresponding to the respective user comprises: selecting the at leastone piece of advertisement, if the terminal associated with therespective user has a same operating system as one to which the at leastone piece of advertisement belongs.
 20. The non-transitory computerreadable storage medium according to claim 15, wherein the collectingstatistics on the operation statistical data of the second group ofusers comprises: for a plurality of pieces of advertisementcorresponding to each member of the second group of users and thecorresponding one or more of the first group of users, recording each ofmoments at which the media information operation message correspondingto each of the plurality of pieces of advertisement is received; andsorting the plurality of pieces of advertisement in a descending orderaccording to the moments, and selecting, according to the sorting in thedescending order, advertisement corresponding to top V moments of themoments, for statistics collection, to obtain the operation statisticaldata of the member of the second group of users from the plurality ofmedia information operation messages associated with the first group ofusers, wherein V is a positive integer greater than or equal to 1.